%0 Journal Article
%T ROUGH SETS REDUCTION FOR BINARY DATA
%J ERJ. Engineering Research Journal
%I Menoufia University, Faculty of Engineering
%Z 1110-1180
%A abady, a. n.
%A kozae, a. m.
%A rady, e. a.
%D 2008
%\ 04/01/2008
%V 31
%N 2
%P 219-225
%! ROUGH SETS REDUCTION FOR BINARY DATA
%K Reduction
%K information system
%K binary relation
%R 10.21608/erjm.2008.69536
%X The major aim of this work is to introduce a new method for data reduction in information systems classified by nonequivalence relations. The suggested approach is useful for many real life data that can not be classsed into disjoint classes. The new approach is tested with examples and its ability for decreasing the noisy in data, as well as simpliiing the structure for extracting decision rules. Based on binary relation, this method is capable of discovering the reduct attributes or indispensable attributes which are useful for data description andlor prediction, and to remove the dispensable ones.
%U https://erjm.journals.ekb.eg/article_69536_606ec6f2e2cfd99cbbb6833f010ed6bb.pdf